Speech recognition is the key to realize man-machine interface technology. In order to
improve the accuracy of speech recognition and implement the module on embedded …

针对电子系统, 尤其是模拟电路的早期故障诊断是重要却又困难的问题, 提出一种基于隐马尔可
夫模型(HMM) 的模拟电路早期故障诊断方法. 首先提取出模拟电路的电压特征; …

In this paper, an embedded speaker-independent isolated word speech recognition module
based on STM32F103C6T6 (STM32) is designed. The speech recognition algorithm …

Due to the influence of multipath propagation, Doppler effect, and fluctuation effect [1],
especially serious acoustic transmission loss and frequency attenuation, the signal to noise …

Based on the comprehensive analysis and comparison in the characteristic of acoustics
between the sample speaker and the case sample speaker, we can get the identification of …

Biexciton emission properties were studied in a single GaAs quantum well semiconductor
planar microcavity by photoluminescence measurements at low temperatures. At high pump …

Diagnosis of incipient faults for electronic systems especially for analog circuits, is important
yet difficult. The paper proposes a new method using HMM for the diagnosis of the incipient …

A noisy speech recognition method based on improved RBF neural network is presented,
which the parameters of hidden layer are trained dynamically, and Akaike's final prediction …

During the operating course of Cochlear implant, the speech signal processing strategy
converts original speech signal into dim current signal. And then this signal will be …